class_docstr: This class is a child class of the ComprehensiveFCParameters class
  and has the same functionality as its base class.
  
  The only difference is, that only the features that require a DatetimeIndex are included. Those
  have an attribute "index_type" with value pd.DatetimeIndex.
code: def __init__(self):
      ComprehensiveFCParameters.__init__(self)
      # drop all features with high computational costs
      for fname, f in feature_calculators.__dict__.items():
          if (
              fname in self
              and getattr(f, "index_type", False) != pd.DatetimeIndex
          ):
              del self[fname]
  
imports: import logging
  from builtins import range
  from collections import UserDict
  from inspect import getfullargspec
  from itertools import product
  import cloudpickle
  import pandas
  from tsfresh.feature_extraction import feature_calculators
  from tsfresh.utilities.string_manipulation import get_config_from_string
label_desc: Use image node_id 1 to create a new TimeBasedFCParameters object from inherited base classes: ComprehensiveFCParameters with example: obj = TimeBasedFCParameters()